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20 contributions to Brendan's AI Community
Solved a classic bottleneck of content creators
8 hours/week repurposing one YouTube video → clips, captions, posts, formatting → classic creator bottleneck Built a simple content repurposing system. Input • 1 long-form YouTube video Output • 5–7 short clips (IG + LinkedIn optimized) • Platform-native text posts for: – Instagram – LinkedIn – X – Skool • Everything formatted, stored, and ready to schedule No manual editing. How the system works The video transcript is pulled once Then the system runs two parallel tracks: Track 1 — Video clipping • Finds high-signal moments • Generates short clips • Tracks processing status • Notifies when assets are ready Track 2 — Text repurposing • LLM analyzes the transcript • Rewrites content per platform • Different tone, structure, formatting for each • No copy-paste syndication • Actual platform-native posts All outputs are aggregated, stored, and tracked. Time math Manual process: • 8 hrs/week • 32 hrs/month • ~$5,120/month (at $40/hr) Automated process: • ~30 min/week • Review + minor tweaks only For those creators who don't need: “AI strategy” or “content hacks” but need: • A mapped workflow • Clear time leaks • Boring automation that gives hours back
Solved a classic bottleneck of content creators
0 likes • Dec '25
@Frank Raymond thanks man
Got a tire-kicker from skool. Sharing a lesson I learnt the hard way
Don’t be that nice guy on socials... Even on LinkedIn. Got a lead from Skool. He said he liked my posts on AI sales systems. Even mentioned the $40k CRM lift I talk about. Cool. I’ve been burned by tire-kickers before, so I decided to qualify first. Asked a few direct questions. Replied late (2-3d later). Vague (not understandable). Clearly AI-generated answers. No signal. No clarity. No ownership. Then out of nowhere: “You know… I can tell your posts are AI-generated. Your services and pitch are all over the place. But let’s see. This is what I need…” Then he pasted my own posts back to me like evidence. Cringe. I replied politely and clarified: I use Claude.ai to format. Stories, insights, experience = mine. Anyone who actually reads can tell. His response? “You disqualified yourself. If you post something, you should know exactly what you offer. Sales 101.” I was done. Not angry. Not defensive. Just clear. “I’m good, brother. I don't know what I post about, what I offer, who I am!” A lesson I learned the hard way: Tire-kickers don’t just waste time. They quietly mess with your confidence. They poke. They project. They test you without ever intending to buy. And if you’re too “nice,” you’ll entertain them longer than you should. This isn’t about starting wars or dunking on people. (Although platforms like X, admire controversies) I keep conversations respectful. But I’m also raw with boundaries now. If someone can’t: – answer clearly – respect your work – engage like an adult They’re not a prospect. They’re noise. The faster you spot them, the more energy you save for people who actually matter. "Being kind doesn’t mean being available to everyone." Share if you've a same sort of story.
Got a tire-kicker from skool. Sharing a lesson I learnt the hard way
1 like • Dec '25
@Melody Villa 🤝
0 likes • Dec '25
@Saicharan P sure
Sauce - How I'd add $80k-$200k in qualified B2B pipeline
A system that can bring $80k-$200k/mo in qualified pipeline and help you make money from the thin Air. (Note: make sure the client closes high-ticket deals only) 1. Signal-based lead generation Instead of blasting strangers… Go after the people already raising their hand through real signals. A few examples: IT companies posting about breaches → cybersecurity firms reach out within 24 hrs Recruiting firms posting new openings → staffing automation vendors contact same day SaaS companies hiring SDRs → sales enablement tools get in early Pull signals from Apollo, Sales Nav, Clay, Exa, public directories — wherever your ICP shows intent. Enrich → verify inbox → done. Stop guessing. Start timing. 2. Hyper-personalized icebreakers (15 sec each) If your opener sounds like: “I saw you’re doing great things at [Company]…” You already lost. Use THEIR: LinkedIn activity website data hiring/job signals industry context Example: “Saw you're hiring 3 SDRs this month. Before adding headcount, thought I’d share this — we’re producing 17x SDR output using AI workflows targeting only your ideal profiles. Worth a quick look if it adds $20k+ in qualified pipeline?” This takes 15 seconds with the right workflow. Which means your team can hit 100 targeted leads/day, not 20 generic ones. 3. Emails that de-risk the decision Every email must prove three things: They have the pain (reference their real situation) You have the solution (clear, simple, believable) You’re the safest vendor for it (proof, credibility, performance terms) Formula: Personalization → Pain/Solution → Proof → Soft CTA No 8-paragraph novels. No hype. And add de-risking lines like: “If I don’t produce X, you don’t pay.” “I’ll work for $0 until this outcome is hit.” Let them feel the before/after in their world. 4. 4–5 follow-ups (each with new value) Most teams stop after 2 emails. Top performers don’t. Each follow-up must bring something NEW: Short case study from their niche
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Built a robust outbound system
Built a full agentic outreach engine — complex logic, multiple data sources, edge-case handling. My n8n version took months. Rebuilt it in Antigravity: 47 minutes to a working system, a week to harden it, same-or-better results. No hype. Just reality-shifted execution. pain → outcome: Pain: SDRs wasting 10–20 hours/week on copy-paste, bad signals, and manual personalization. Fix: Replace repetitive operator work with an agentic workflow that plans, reasons, and self-corrects. Outcome: Projects that were 20–40 hours become 2 hours. Multiple tools collapse into one system. More output, same headcount. How the change actually shows up (practical bullets): More calls: personalization at scale (real context, not templates) → reply and booking lift. Less ops drag: data entry, enrichment, routing automated — ops time cut dramatically. Fewer tools: one agentic system chains research → outreach → follow-up → triage. Resilience: system can self-correct and improve iterations without you babysitting each run. Reality check (be brutally honest): AI isn’t perfect. It still makes mistakes. But the speed of iteration now means you fix errors fast and gain leverage far quicker than you did last year. Ignoring AI isn’t neutral — it’s falling behind. The winners will be teams that treat AI like an operator, not an assistant. Quick blueprint (what to build first): Signal layer — scrape hiring, posts, fundraising, product updates. If they signal, they’re worth outreach. Context layer — pull recent content (LinkedIn posts, blog, news) and compress to a 1-line icebreaker. Agent logic — rules for sequencing channels, cadence, and self-correction on failures. Quality layer — automated checks: validate emails, detect tone problems, flag risky sends. Measurement — bookings, replies, time saved per SDR. Optimize for bookings and pipeline, not opens. Agency owner: stop wasting 2 hours/day per rep on research. That can become 10× more leads qualified without hiring.
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I showed clear ROI. On the way to close.
An automation agency was stuck at $5K/mo. I showed them a clean path to an extra $20K/month in pipeline. They tried everything — ads, cold calling, more volume, more templates. Pipeline didn’t move an inch. They were blasting 200+ emails/week. Generic. Forgettable. Messages that could’ve gone to anyone. Result? 0.9% reply rate. Maybe 1 SQL/month on a “good” month. And they wondered why outbound “doesn’t work anymore.” So I rebuilt the entire thing from scratch (I was using for myself). I built a Python-based outbound engine that: Pulls the prospect’s latest posts (real-time intent) Extracts the pain they’re literally talking about online Crafts ROI-driven pitches (“Cut CAC 25%… improve LTV:CAC to 3x…”) Sends personalized outreach at scale without slowing down Here’s what changed: Before → 200 emails/week 1% reply 1 SQL After → 150 emails/week 6% reply 8 SQLs Same effort. 6× more pipeline. Let’s do the math: 8 SQLs × $2,500 ACV = $20,000 added pipeline Close rate didn’t change → more revenue, automatically. Why the jump? Because we fixed the only 3 levers that actually matter: Target. Copy. Offer. Everything else is noise. Here’s the real principle: Relevance scales replies. Generic outreach → 1% Signal-targeted outreach → 8% This is literally the difference between: Empty calendar vs Consistent weekly calls Most agencies can’t break their revenue plateau because: Their ICP is “anyone who might need us” Their message fits 1,000 companies Prospects delete it in 3 seconds Your real competition isn’t other agencies. It’s the delete key. If your agency is stuck: It’s not your service. It’s not your pricing. It’s not the market. It’s your outbound strategy. Fix outbound → everything compounds. (P.S. Currently talking to them to fix their offers. Wish me luck)
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Diptamoy Barman
4
43points to level up
@dipt-barman
On a mission to generate $1M+ for sales teams and founders leveraging AI. Your AI Transformation Partner

Active 2h ago
Joined Nov 5, 2025
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